23 citations · 49 across the 4 of their papers we have counts for
4 papers · 1 filter
Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision
Congliang Li, Shijie Sun, Xiangyu Song +3
Multiple object detection and pose estimation are vital computer vision tasks. The latter relates to the former as a downstream problem in applications such as robotics and autonom…
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
ShiJie Sun, Naveed Akhtar, XiangYu Song +3
Deep learning-based Multiple Object Tracking (MOT) currently relies on off-the-shelf detectors for tracking-by-detection.This results in deep models that are detector biased and ev…
Deep Affinity Network for Multiple Object Tracking
ShiJie Sun, Naveed Akhtar, HuanSheng Song +2
Multiple Object Tracking (MOT) plays an important role in solving many fundamental problems in video analysis in computer vision. Most MOT methods employ two steps: Object Detectio…
Benchmark data and method for real-time people counting in cluttered scenes using depth sensors
ShiJie Sun, Naveed Akhtar, HuanSheng Song +3
Vision-based automatic counting of people has widespread applications in intelligent transportation systems, security, and logistics. However, there is currently no large-scale pub…